Xinyi Liu
Bis 2020, Geospatial Analyst, Munich Re (Group)
Munich, Deutschland
Über mich
Recent graduate of Remote Sensing, Data Science, GIS Master's degree program from the Technical University of Munich (TUM). Research direction included artificial intelligence, computer vision and deep learning applied in remote sensing data. Professional experience includes working as Geospatial Analyst at Munich Re where I used Python, ArcGIS and other technologies to develop an automated map service and maintained and optimized geocoding engine for Munich Re.
Werdegang
Berufserfahrung von Xinyi Liu
Worked in corporate underwriting department with focus on geospatial solutions for non-life insurance. • Developed automated map service workflows from raw data using Python • Published map services as ArcGIS Web Applications • Created database, conducted analysis and visualization for large-scale geodata • Maintained and optimized Munich Re’s geocoding engine regarding database quality, global coverage • Won the Innovation Contest IDEACTION with & further developed a waste trading platform named “Wastazon”
6 Monate, März 2019 - Aug. 2019
Research Assistant - Remote Sensing Data Science
Technical University of Munich
Topic: Event Recognition in Drone Video using Deep Learning Methods. • Designed and created the first event recognition drone video dataset: ERA dataset • Contributed over 15 categories with 1500 data items. Application: Video classification task using deep CNN Models
3 Monate, Juli 2015 - Sep. 2015
Geospatial Data Product Manager
Baidu Inc.
Road data product manager for Baidu Maps. • Contributed to the daily update & maintenance of road data product life cycle for Baidu Maps • Responsible for the QA & QC process of Baidu Map road data. E.g., extracted and updated accident-prone location info from Jinan city traffic cloud data • Implemented an active road data mining method for the top 50 cities in China. Enhanced weekly effective UGC road data items from hundred level to thousand level
Ausbildung von Xinyi Liu
4 Jahre und 1 Monat, Okt. 2017 - Okt. 2021
Earth Oriented Space Science and Technology (ESPACE)
Technical University of Munich
This was a TUM and WHU ESPACE double degree program. Research directions: GIS, remote sensing, deep learning Master thesis topic: Multi-attribute Learning for Aerial Video Understanding • Designed a taxonomy of 28 representative video attributes • Created the first multi-attribute aerial drone video database: Multi-attribute ERA Database • Designed and executed a multi-attribute aerial video learning task, in which 4 state-of-the-art video classification deep learning CNN models are evaluated
1 Jahr und 1 Monat, Sep. 2016 - Sep. 2017
Geographic Information Science and Cartography
Wuhan University
Research directions: Computer vision and image processing Publication: Liu X. Understanding UAV Aerial Videos from a Multi-attribute Perspective[J]. Scientific and Technological Innovation Information, 2022(4): 41-44
3 Jahre und 10 Monate, Sep. 2012 - Juni 2016
Geographical Information System
Wuhan University
Grade: 3.71 / 4.0 (Equivalent to 92%) Thesis: Geographic Names Localization Based on OpenStreetMap Data Athletics: Ranked top in Women’s 800-meter Races and Women’s Long Jump Competitions
Sprachen
Englisch
Fließend
Deutsch
Gut
Chinesisch
Muttersprache
Koreanisch
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